| Title |
Detection of Copy Number Variants Reveals Association of Cilia Genes with Neural Tube Defects
|
|---|---|
| Published in |
PLOS ONE, January 2013
|
| DOI | 10.1371/journal.pone.0054492 |
| Pubmed ID | |
| Authors |
Xiaoli Chen, Yiping Shen, Yonghui Gao, Huizhi Zhao, Xiaoming Sheng, Jizhen Zou, Va Lip, Hua Xie, Jin Guo, Hong Shao, Yihua Bao, Jianliang Shen, Bo Niu, James F. Gusella, Bai-Lin Wu, Ting Zhang |
| Abstract |
Neural tube defects (NTDs) are one of the most common birth defects caused by a combination of genetic and environmental factors. Currently, little is known about the genetic basis of NTDs although up to 70% of human NTDs were reported to be attributed to genetic factors. Here we performed genome-wide copy number variants (CNVs) detection in a cohort of Chinese NTD patients in order to exam the potential role of CNVs in the pathogenesis of NTDs. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | 3% |
| Unknown | 31 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 28% |
| Researcher | 7 | 22% |
| Professor | 3 | 9% |
| Student > Bachelor | 2 | 6% |
| Student > Doctoral Student | 2 | 6% |
| Other | 5 | 16% |
| Unknown | 4 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 25% |
| Biochemistry, Genetics and Molecular Biology | 7 | 22% |
| Medicine and Dentistry | 5 | 16% |
| Neuroscience | 3 | 9% |
| Social Sciences | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 5 | 16% |